Search (116 results, page 1 of 6)

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Abstract

Transaction logs from four different Web-based information retrieval environments (bibliographic databank, OPAC, search engine, specialized search system) were analyzed for empirical regularities in search characteristics to determine whether users engage in different behaviors in different Web-based search environments. Descriptive statistics and relative frequency distributions related to term usage, query formulation, and session duration were tabulated. The analysis revealed that there are differences in these characteristics. Users were more likely to engage in extensive searching using the OPAC and specialized search system. Surprisingly, the bibliographic databank search environment resulted in the most parsimonious searching, more similar to a general search engine. Although on the surface Web-based search facilities may appear similar, users do engage in different search behaviors.

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Abstract

Subject content analysis of Web query terms is essential to understand Web searching interests. Such analysis includes exploring search topics and observing changes in their frequency distributions with time. To provide a basis for in-depth analysis of users' search interests on a larger scale, this article presents a query categorization approach to automatically classifying Web query terms into broad subject categories. Because a query is short in length and simple in structure, its intended subject(s) of search is difficult to judge. Our approach, therefore, combines the search processes of real-world search engines to obtain highly ranked Web documents based on each unknown query term. These documents are used to extract cooccurring terms and to create a feature set. An effective ranking function has also been developed to find the most appropriate categories. Three search engine logs in Taiwan were collected and tested. They contained over 5 million queries from different periods of time. The achieved performance is quite encouraging compared with that of human categorization. The experimental results demonstrate that the approach is efficient in dealing with large numbers of queries and adaptable to the dynamic Web environment. Through good integration of human and machine efforts, the frequency distributions of subject categories in response to changes in users' search interests can be systematically observed in real time. The approach has also shown potential for use in various information retrieval applications, and provides a basis for further Web searching studies.

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Abstract

Systematic reviews are becoming increasingly important for health care professionals seeking to provide evidence based health care. In the past, systematic reviews have been difficult to identify among the mass of literature labelled 'reviews'. Reports results of a study to design search strategies based on a more objective approach to strategy construction. MEDLINE was chosen as the database and word frequencies in the titles, abstracts and subject keywords of a collection of systematic reviews of the effective health care interventions were analyzed to derive a highly sensitive search strategy. 'Sensitivity' was used in preference to the usual term 'recall' as one of the measures (in addition to the usual 'precision'). The proposed strategy was found to offer 98% sensitivity in retrieving systematic reviews, while retaining a low but acceptable level of precision (20%). Reports results using other strategies with other levels of sensitivity and precision. Concludes that it is possible to use frequency analysis to generate highly sensitive strategies when retrieving systematic reviews

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Abstract

Conventional wisdom holds that queries to information retrieval systems will yield more relevant results if they contain multiple topic-related terms and use Boolean and phrase operators to enhance interpretation. Although studies have shown that the users of Web-based search engines typically enter short, term-based queries and rarely use search operators, little information exists concerning the effects of term and operator usage on the relevancy of search results. In this study, search engine users formulated queries on eight search topics. Each query was submitted to the user-specified search engine, and relevancy ratings for the retrieved pages were assigned. Expert-formulated queries were also submitted and provided a basis for comparing relevancy ratings across search engines. Data analysis based on our research model of the term and operator factors affecting relevancy was then conducted. The results show that the difference in the number of terms between expert and nonexpert searches, the percentage of matching terms between those searches, and the erroneous use of nonsupported operators in nonexpert searches explain most of the variation in the relevancy of search results. These findings highlight the need for designing search engine interfaces that provide greater support in the areas of term selection and operator usage

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Abstract

Proposes a model of the search term selection process based on an empirical study of professional searchers during the pre-online stage of the search process. The model chraracterises the selection of search terms as the navigation of different discourses. 6 discourses emerged as sources of search terms: controlled vocabularies, documents and the domain, the practice of indexing, clients' search request, databases and the searchers' own search experience. Searchers navigate the discourses dynamically and have preferences for certain discourses. Emphasises the multiplicity and complexity of sources of search terms, the dynamic nature of the search term selection process and the complex analysis and synthesis of differences and similarities among sources of search terms. Searchers may need to understand fundamental aspects of multiple discourses in order to select search terms

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Abstract

Describes and evaluates the proximity search facilities in external online systems and in-house retrieval software. Discusses and illustrates capabilities, syntax and circumstances of use. Presents measurements of the overheads required by proximity for storage, record input time and search time. The search strategy narrowing effect of proximity is illustrated by recall and precision test results. Usage and problems lead to a number of design ideas for better implementation: some based on existing Boolean strategies, one on the use of weighted proximity to automatically produce ranked output. A comparison of Boolean, quorum and proximate term pairs distance is included

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Content

Key Features - Importantly, the book enables readers to develop strategies which will continue to be useful despite the rapidly-evolving state of the Internet and Internet technologies - it is not about technological `tricks'. - Enables readers to be aware of and compensate for bias and errors which are ubiquitous an the Internet. - Provides contemporary information an the deficiencies in web skills of novice users as well as practical techniques for teaching such users. The Authors Dr Alison Stacey works at the Learning Resource Centre, Cambridge Regional College. Dr Adrian Stacey, formerly based at Cambridge University, is a software programmer. Readership The book is aimed at a wide range of librarians and other information professionals who need to retrieve information from the Internet efficiently, to evaluate their confidence in the information they retrieve and/or to train others to use the Internet. It is primarily aimed at intermediate to advanced users of the Internet. Contents Fundamentals of information retrieval from the Internet - why learn web searching technique; types of information requests; patterns for information retrieval; leveraging the technology: Search term choice: pinpointing information an the web - why choose queries carefully; making search terms work together; how to pick search terms; finding the 'unfindable': Blas an the Internet - importance of bias; sources of bias; usergenerated bias: selecting information with which you already agree; assessing and compensating for bias; case studies: Query reformulation and longer term strategies - how to interact with your search engine; foraging for information; long term information retrieval: using the Internet to find trends; automating searches: how to make your machine do your work: Assessing the quality of results- how to assess and ensure quality: The novice user and teaching internet skills - novice users and their problems with the web; case study: research in a college library; interpreting 'second hand' web information.

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Abstract

This article reports on a qualitative study exploring: (1) strategies and behaviors of public library users during interaction with an OPAC; and (2) users' confidence in finding needed information on-line. Questionnaires, interviews, and observations were employed to gather data from 32 public library users. the results found search behaviors, confidence, and other feelings varied, based on 3 types of searches: unknown-item searches; area searches; and known-item searches. Term generation was the most important factor in unknown-item search strategies. Speed and convenience palyed a role in area searches, and simplicity characterized known-item searches. Of the 3 types, unknown-item searchers experienced the most frustration and doubt; known-item searchers the most disappointment; and area searchers the most confidence and contentment. Knowledge of these differences may prove helpful for librarians and interface designers

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Abstract

Web searchers commonly have difficulties crafting queries to fulfill their information needs; even after they are able to craft a query, they often find it challenging to evaluate the results of their Web searches. Sources of these problems include the lack of support for constructing and refining queries, and the static nature of the list-based representations of Web search results. WordBars has been developed to assist users in their Web search and exploration tasks. This system provides a visual representation of the frequencies of the terms found in the first 100 document surrogates returned from an initial query, in the form of a histogram. Exploration of the search results is supported through term selection in the histogram, resulting in a re-sorting of the search results based on the use of the selected terms in the document surrogates. Terms from the histogram can be easily added or removed from the query, generating a new set of search results. Examples illustrate how WordBars can provide valuable support for query refinement and search results exploration, both when vague and specific initial queries are provided. User evaluations with both expert and intermediate Web searchers illustrate the benefits of the interactive exploration features of WordBars in terms of effectiveness as well as subjective measures. Although differences were found in the demographics of these two user groups, both were able to benefit from the features of WordBars.

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Abstract

Adapting the consumer behavior selectivity model to the Web environment, this paper's key contribution is the introduction of a self-concept orientation model of Web information seeking. This model, which addresses gender, effort, and information content factors, questions the commonly assumed equivalence of sex and gender by specifying the measurement of gender-related selfconcept traits known as self- and other-orientation. Regression analyses identified associations between self-orientation, other-orientation, and self-reported search frequencies for content with identical subject domain (e.g., medical information, government information) and differing relevance (i.e., important to the individual personally versus important to someone close to him or her). Self- and other-orientation interacted such that when individuals were highly self-oriented, their frequency of search for both self- and other-relevant information depended on their level of other-orientation. Specifically, high-self/high-other individuals, with a comprehensive processing strategy, searched most often, whereas high-self/low-other respondents, with an effort minimization strategy, reported the lowest search frequencies. This interaction pattern was even more pronounced for other-relevant information seeking. We found no sex differences in search frequency for either self-relevant or other-relevant information.

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Abstract

The aim of this article is threefold: (1) to give a summary of empirical results reported earlier on relations between students' problem stages in the course of writing their research proposals for a master's thesis and the information sought, choice of search terms and tactics and relevance assessments of the information found for that task; (2) to show how the findings of the study refine Kuhlthau's model of the information search process in the field of information retrieval (IR); and (3) to construe a tentative theory of a task-based IR process based on the supported hypotheses. The results of the empirical studies show that there is a close connection between the students' problem stages (mental model) in the task performance and the information sought, the search tactics used and the assessment of the relevance and utility of the information found. The corroborated hypotheses expand the ideas in Kuhlthau's model in the domain of IR. A theory of task-based information searching based on the empirical findings of the study is presented.

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Abstract

The transaction logs of 53 medical students' searches of a factual database, INQUIRER, of microbiology facts and concepts were analysed in detail to determine: the overall frequency of search moves; the interaction between the problem statement and the students' search strategies; the search moves selected by individual students; and the tactics (combinations of moves) used by the students. Over 200 searches were conducted in response to clinical scenarios in microbiology and the searches were made up of 853 search moves. Results indicate that students used only a few distinct moves and that their selection of moves varied by individual and by search stimulus. Patterns also emerged in students' combinations of search moves into search tactics

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Abstract

The authors investigated 11 sports-related query keywords extracted from a public search engine query log to better understand sports-related information seeking on the Internet. After the query log contents were cleaned and query data were parsed, popular sports-related keywords were identified, along with frequently co-occurring query terms associated with the identified keywords. Relationships among each sports-related focus keyword and its related keywords were characterized and grouped using multidimensional scaling (MDS) in combination with traditional hierarchical clustering methods. The two approaches were synthesized in a visual context by highlighting the results of the hierarchical clustering analysis in the visual MDS configuration. Important events, people, subjects, merchandise, and so on related to a sport were illustrated, and relationships among the sports were analyzed. A small-scale comparative study of sports searches with and without term assistance was conducted. Searches that used search term assistance by relying on previous query term relationships outperformed the searches without the search term assistance. The findings of this study provide insights into sports information seeking behavior on the Internet. The developed method also may be applied to other query log subject areas.

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Abstract

The purpose of this analysis was to evaluate an existing set of search tasks in terms of their effectiveness as part of a "shared infrastructure" for conducting interactive IR research. Twenty search tasks that varied in their cognitive complexity and domain were assigned to 47 study participants; the 3,101 moves used to complete those tasks were then analyzed in terms of frequency of each type of move and the sequential patterns they formed. The cognitive complexity of the tasks influenced the number of moves used to complete the tasks, with the most complex (i.e., Create) tasks requiring more moves than tasks at other levels of complexity. Across the four domains, the Commerce tasks elicited more search moves per search. When sequences of moves were analyzed, seven patterns were identified; some of these patterns were associated with particular task characteristics. The findings suggest that search tasks can be designed to elicit particular types of search behaviors and, thus, allow researchers to focus attention on particular aspects of IR interactions.

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Abstract

Query formation and expansion is an integral part of nearly every effort to search for information. In the work reported here we investigate the effects of domain knowledge and feedback an search term selection and reformation. We explore differences between experts and novices as they generate search terms over 10 successive trials and under two feedback conditions. Search attempts were coded an quantitative dimensions such as the number of unique terms and average time per trial, and as a whole in an attempt to characterize the user's conceptual map for the topic under differing conditions of participant-defined domain expertise. Nine distinct strategies were identified. Differences emerged as a function of both expertise and feedback. In addition, strategic behavior varied depending an prior search conditions. The results are considered from both a theoretical and design perspective, and have direct implications for digital library usability and metadata generation, and query expansion systems.

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Abstract

This study is based an earlier research by the author that employed social judgment analysis (SJA; J. SteflMabry, 2001, 2003) to identify the information judgment preferences held by professional groups. This study explores the extent to which individuals, professional groups, and subgroups are self-aware of their judgment profiles. Three specialized groups of professionals-law enforcement, medicine, and education-were chosen to determine if preference profiles cluster around professions or around demographic and other background variables. As the proliferation of data continues to increase, the need to understand users' media preference and selection decisions is of tremendous value to every industry, governmental agency, and institution of learning. In 1966, H. Menzel first raised concern about the reliability of users' to self-assess, and scientists continue to explore the issue of competency in human judgment. To understand the reliability of users' self-assessment regarding media preferences, this study examines the extent to which individuals and groups are self-aware of the empirical judgment profiles they employ in evaluating information source scenarios. This investigation explores the congruence of three groups of professionals' self-reported media preferences as compared to their empirical judgment values, as defined by social judgment analysis.

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Abstract

As part of the study of human information search strategy, the concept of the search tactic, or move made to futher a search, is introduced. 29 search tactics are named, defined, and discussed in 4 categories: monitoring, file structure, search formulation, and term. Implications of the search tactics for research in search strategy are considered. The search tactics are inteded to be practically useful in information searching. This approach to searching is designed to be general, yet nontrivial; it is applicable to both bibliographic and reference searches and in both manual and on-line systems

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Abstract

"Information behavior" is the currently preferred term used to describe the many ways in which human beings interact with information, in particular, the ways in which people seek and utilize information. The broad history of research on information-seeking behavior over the last 50-60 years is reviewed, major landmarks are identified, and current directions in research are discussed.

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Abstract

The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quailty. The paper discusses the approaches Search Term Recommendation, Bradfordizing and Author Centrality on a general level and addresses implementation issues of the models within a real-life retrieval environment.

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Abstract

In using the Internet to solve everyday problems, older adults tend to find fewer correct answers compared to younger adults. Some authors have argued that these differences could be explained by age-related decline. The present study aimed to analyze the relationship between web-searching navigation and users' age, considering the Intelligence Quotient (IQ) and frequency of Internet and personal computer use. The intent was to identify differences due to age and not to other variables (that is, cognitive decline, expertise with the tool). Eighteen students (18-30?years) and 18 older adults (60-75?years) took part in the experiment. Inclusion criteria were the frequent use of computers and a web-searching activity; the older adults performed the Mini-Mental State Examination to exclude cognitive impairment. Participants were requested to perform the Kaufman Brief Intelligence Test 2nd ed. to measure their IQ level, and nine everyday web-searching tasks of differing complexity. The results showed that older participants spent more time on solving tasks than younger participants, but with the same accuracy as young people. Furthermore, nonverbal IQ improved performance in terms of time among the older participants. Age did not influence web-searching behavior in users with normal expertise and intelligence.